Fractal-based compression of motion video sequences

An approach is presented for the compression of motion video sequences using iterated function systems. In the proposed approach, the video stream is partitioned into three-dimensional range regions. Each range region consists of a variable number of rectangular blocks that belong to consecutive frames along motion trajectory. The approach exploits correlation between consecutive blocks in the direction of motion by predicting the IFS map of a given range block with that of a parent range block along the trajectory of motion. The proposed approach shows good promise for efficient modeling and compression of motion video sequences at an affordable computational cost